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715 articles for “Effectiveness of treatment”
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Polymer Chemistry in Shoulder Orthotics
Abstract: The design of effective shoulder orthotic devices has increasingly made use of polymeric materials because of their versatility, durability, and biocompatibility. This review illustrates polymer chemistry role in constructing an orthotic device for shoulder subluxation, which is a commonly occurring post stroke or injury condition. Proprietary design elements such as polypropylene are rigid yet moldable which help in anatomical formulating for joint stabilization. On the other hand, rubber elastomers, medicinal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 21–28 Read article
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Polymer Composite-Supported Jackfruit Peel Adsorbent for Enhanced Copper (II) Removal from Wastewater: Batch Equilibrium and Isotherm Analysis
Abstract: The increasing concern of disposal of copper-containing effluents into the environment has led to heightened interest in designing cost-effective, eco-friendly and scalable adsorbent systems. Traditional metals and synthetically engineered sorbents prove to be effective; however, these systems are energy intensive. Agricultural residues entrapped in polymer composite systems constitute an economically feasible solution to this environmental challenge. This work reports on the design, characterization and performance evaluation of an economical adsorbent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 375–390 Read article
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Post Halela Zard (Terminalia chebula Retz.): A Review on Medicinal Utility from the Perspective of Unani Medicine
Abstract: Halela Zard (Terminalia chebula Retz.), commonly known as Haritaki in Sanskrit and Chebulic Myrobalan in English, is a cornerstone of Unani pharmacotherapy due to its remarkable therapeutic versatility. The dried pericarp of its fruit has been extensively employed in traditional medicine for the treatment of a wide spectrum of ailments, ranging from digestive disturbances to chronic systemic disorders. This review aims to present a comprehensive overview of Halela Zard by …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 19–26 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Role of W.A.R. Score in Predicting Wound Infection
Abstract: In clinical practice, chronic wounds are a major difficulty that are frequently made worse by the infection risk. However, the lack of precise standards for evaluating the risk of infection and establishing the need for and length of time for systemic antibiotics leads to the overuse and abuse of these drugs, which increases the risk of side effects and the development of antibiotic resistance. To close this gap, the development …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 33–38 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Evaluating Andrographis paniculata Phytochemicals as Potential Glioma Therapeutics via Molecular Docking Approach
Abstract: Evaluating Andrographis paniculata Phytochemicals as Potential Glioma Therapeutics via Molecular Docking ApproachGlioneuronal tumors and gliomas are grade I tumors classified by the World Health Organization (WHO). They typically grow slowly and primarily affect infants, children, and teenagers, but can also occur in adults. They mostly cause seizures caused by gangliomas. Most current treatments include surgery and radiotherapy. Since this disease affects children, the current treatments may cause complications. Andrographis paniculata …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 82–93 Read article
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pH-Triggered In-Situ Nasal Gel Systems for Migraine Therapy: A Review
Abstract: Intranasal drug delivery has gained considerable attention as a non-invasive route for delivering drugs to both systemic circulation and the central nervous system, particularly for the treatment of migraine. Traditional nasal formulations such as sprays and drops often show poor therapeutic performance due to rapid mucociliary clearance and limited retention within the nasal cavity. To overcome these challenges, in-situ gel systems have been designed, which transform from a liquid to …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Biopolymer-Based 3D Composite Scaffolds for Bone Tissue Engineering: Photothermal-Responsive Systems with Controlled Pt (IV) Prodrug Release
Abstract: Biopolymer-based composite scaffolds have attracted significant attention as multifunctional platforms at the intersection of polymer science, regenerative medicine, and cancer nanotherapy. In this study, a dual-functional scaffold was developed for simultaneous osteosarcoma treatment and bone regeneration using poly (L-lactic acid) (PLLA) reinforced with bioactive glass (BG) and integrated with a glutathione-responsive platinum (IV) prodrug system (PDA@Pt). To improve interfacial adhesion, photothermal conversion efficiency, and tumor-specific activation, the Pt (IV) prodrug …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 351–361 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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A comprehensive study on elemental analysis and sustainable integration of CETP (common effluent treatment plant) sludge as a substitute to sand in concrete
Abstract: This study examines the utilization of sludge from common effluent treatment plants (CETP) as a fractional substitute for sand in M20 concrete mixtures. Its aim is to address disposal challenges associated with CETP sludge while promoting sustainable use of natural resources. The research assesses the structural and microstructural attributes of concrete mixes containing varying percentages of CETP sludge (0%, 10%, 20%, 30%, 40%, and 50%). Tests conducted include compressive, flexural, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 49–59 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Grid based docking study of some 2-(4-methylsulfonyl phenyl) pyrimidine derivatives (designed after QSAR studies) with Cyclooxygenase
Abstract: Molecular docking helps in studying drug/ligand or receptor/ protein interactions by identifying the suitable active sites in protein, obtaining the best geometry of ligand-receptor complex and calculating the energy of interaction for different ligands to design more effective ligands. In Grid based docking, after unique conformers of the ligand are generated, the receptor cavity of interest is chosen and a grid is generated around the cavity. Cavity points are found …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 23–41 Read article